LeuwongRRAI Gateway
Live catalog · updated 2026-10-27

Model catalog

Use the exact model code in your request's model field. Names, availability, catalog prices, and usage statistics come from the gateway. Usage totals cover all recorded history; observed tok/s reflect the last 7 days for models in this catalog.

Catalog price per 1M tokens·Wallet debits reflect your selected balance type
Active models
21
Total requests
748,292+
Total tokens
303,886,871,570+

Model catalog · price per 1 million tokens

Search by provider or model code. A green marker means the model is active; the Plan only badge means a PAYG key cannot access it.

Claude · 5 model

Model Capabilities Price / 1M
Claude Fable 5.1claude-fable-5-123.3 tok/s
T $5 / 1Moutput $25 · cache $0.125Token fee ×25
Claude Opus 4.8claude-opus-4-824.1 tok/s
T $5 / 1Moutput $25 · cache $0.5Token fee ×25
Claude Opus 5claude-opus-525.9 tok/s
T $5 / 1Moutput $25 · cache $0.5Token fee ×25
Claude Opus 5.5claude-opus-5.5
T $4 / 1Moutput $20 · cache $0.25Token fee ×20
Claude Sonnet 5claude-sonnet-520.9 tok/s
T $2 / 1Moutput $10 · cache $0.2Token fee ×10

DeepSeek · 4 model

Model Capabilities Price / 1M
Deepseek v4 Flash Vision Expdeepseek-v4-flash-vision-exp114.4 tok/s
T $0.44 / 1Moutput $1.32 · cache $0.028Token fee ×2.2
DeepSeek V4 Pro 0813deepseek-v4-pro-0813166.8 tok/s
T $1.1 / 1Moutput $3.326 · cache $0.11Token fee ×5.5
DeepSeek V4.1 Flashdeepseek-v4.1-flash22.5 tok/s
T $0.2 / 1Moutput $0.5 · cache $0.05Token fee ×1
DeepSeek V4.1 Flash 1017deepseek-v4.1-flash-101777.2 tok/s
T $0.3 / 1Moutput $1.2 · cache $0.03Token fee ×1.5

Google · 3 model

Model Capabilities Price / 1M
gemini-3.7-flashgemini-3.7-flash53.1 tok/s
T $0.375 / 1Moutput $1.875 · cache $0.037Token fee ×1.88
Gemini 3.8 Flashgemini-3.8-flash44.0 tok/s
T $0.375 / 1Moutput $1.875 · cache $0.037Token fee ×1.88
Gemini 4 Argongemini-4-argon3.3 tok/s
T $2 / 1Moutput $10 · cache $0.1Token fee ×10

Meta · 1 model

Model Capabilities Price / 1M
Muse Spark 1.3 Contributormuse-spark-1.3118.9 tok/s
T $0.1 / 1Moutput $0.2 · cache $0.002Token fee ×0.5

OpenAI · 5 model

Model Capabilities Price / 1M
GPT-5.6 Terragpt-5.6-terra2.5 tok/s
T $2 / 1Moutput $12 · cache $0.2Token fee ×10
GPT-6 Astragpt-6-astra12.0 tok/s
T $5 / 1Moutput $25 · cache $0.5Token fee ×25
GPT-6 Lunagpt-6-luna2.4 tok/s
T $0.1 / 1Moutput $0.5 · cache $0.1Token fee ×0.5
GPT-6 Solgpt-6-sol2.2 tok/s
T $2 / 1Moutput $10 · cache $0.2Token fee ×10
GPT-6.1 Solgpt-6.1-sol25.8 tok/s
T $2 / 1Moutput $10 · cache $0.1Token fee ×10

Qwen · 1 model

Model Capabilities Price / 1M
Qwen3.8 Flashqwen3.8-flash36.7 tok/s
T $0.15 / 1Moutput $0.47 · cache $0.016Token fee ×0.75

xAI / Grok · 1 model

Model Capabilities Price / 1M
grok-4.6grok-4.636.0 tok/s
T $2 / 1Moutput $6 · cache $0.5Token fee ×10

Zhipu / GLM · 2 model

Model Capabilities Price / 1M
GLM 5.3glm-5.357.2 tok/s
T $1.4 / 1Moutput $4.4 · cache $0.26Token fee ×7
GLM 5.3 Flashglm-5.3-flash62.4 tok/s
T $0.075 / 1Moutput $0.25 · cache $0.015Token fee ×0.38

Recent requests · latest 12 · WIB · live

Status Model Tokens (input → output) Time
OK
GPT-6 Astra
11,505→69cache 97.9% 21:36
OK
GPT-6 Astra
161→31 21:36
OK
GPT-6 Astra
11,313→185 21:35
OK
GPT-6.1 Sol
342,983→2,440cache 99.9% 17:43
OK
GPT-6.1 Sol
342,587→270cache 99.6% 17:42
OK
GPT-6.1 Sol
341,276→1,241cache 99.5% 17:42
OK
GPT-6.1 Sol
339,836→842cache 99.9% 17:42
OK
GPT-6.1 Sol
339,656→160cache 99.9% 17:42
OK
GPT-6.1 Sol
339,336→245cache 99.8% 17:42
OK
GPT-6.1 Sol
338,868→254cache 98.6% 17:42
OK
GPT-6.1 Sol
337,489→1,188cache 99% 17:40
OK
GPT-6.1 Sol
334,320→2,768cache 99.9% 17:40

Input → output shows token counts reported by the model; input includes cached tokens. The cache percentage is the share of input served from cache (reads plus writes). Select Fail to view the HTTP-level reason. This feed contains no account identifiers or conversation content.

Totals include all recorded requests and model-reported token usage for models in this catalog, including historical aliases. Observed output speed uses successful requests with valid token and duration measurements across the same history; at least five samples are required. Only model-level statistics are shown; conversation content is never stored.